✳flâneur — a map of the web's best reading

advanced-context-engineering-for-coding-agents/ace-fca.md at main · humanlayer/advanced-context-engineering-for-coding-agents

github.com · 3,825 words · saved by 1 readers

Your recovery codes have not been saved in the past year. Make sure you still have them stored somewhere safe by viewing and downloading them again. It seems pretty well-accepted that AI coding tools struggle with real production codebases. The Stanford study on AI's impact on developer productivity found: The common response is somewhere between the pessimist "this will never work" and the more measured "maybe someday when there are smarter models." After several months of tinkering, I've found that you can get really far with today's models if you embrace core context engineering principles. This isn't another "10x your productivity" pitch. I tend to be pretty measured when it comes to interfacing with the ai hype machine. But we've stumbled into workflows that leave me with considerable optimism for what's possible. We've gotten claude code to handle 300k LOC Rust codebases, ship a week's worth of work in a day, and maintain code quality that passes expert review. We use a family of

Explore this link on the map →

saved by

related reading